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Understanding Large Language Models: Learning Their Underlying Concepts and Technologies
This book will teach you the underlying concepts of large language models (LLMs), as well as the technologies associated with them.
The book starts with an introduction to the rise of conversational AIs such as ChatGPT, and how they are related to the broader spectrum of large language models. From there, you will learn about natural language processing (NLP), its core concepts, and how it has led to the rise of LLMs. Next, you will gain insight into transformers and how their characteristics, such as self-attention, enhance the capabilities of language modeling, along with the unique capabilities of LLMs. The book concludes with an exploration of the architectures of various LLMs and the opportunities presented by their ever-increasing capabilities—as well as the dangers of their misuse.
After completing this book, you will have a thorough understanding of LLMs and will be ready to take your first steps in implementing them into your own projects.
What You Will Learn
Grasp the underlying concepts of LLMsGain insight into how the concepts and approaches of NLP have evolved over the yearsUnderstand transformer models and attention mechanismsExplore different types of LLMs and their applicationsUnderstand the architectures of popular LLMsDelve into misconceptions and concerns about LLMs, as well as how to best utilize them
Who This Book Is For
Anyone interested in learning the foundational concepts of NLP, LLMs, and recent advancements of deep learning
The book starts with an introduction to the rise of conversational AIs such as ChatGPT, and how they are related to the broader spectrum of large language models. From there, you will learn about natural language processing (NLP), its core concepts, and how it has led to the rise of LLMs. Next, you will gain insight into transformers and how their characteristics, such as self-attention, enhance the capabilities of language modeling, along with the unique capabilities of LLMs. The book concludes with an exploration of the architectures of various LLMs and the opportunities presented by their ever-increasing capabilities—as well as the dangers of their misuse.
After completing this book, you will have a thorough understanding of LLMs and will be ready to take your first steps in implementing them into your own projects.
What You Will Learn
Grasp the underlying concepts of LLMsGain insight into how the concepts and approaches of NLP have evolved over the yearsUnderstand transformer models and attention mechanismsExplore different types of LLMs and their applicationsUnderstand the architectures of popular LLMsDelve into misconceptions and concerns about LLMs, as well as how to best utilize them
Who This Book Is For
Anyone interested in learning the foundational concepts of NLP, LLMs, and recent advancements of deep learning
169 pages, Kindle Edition
Published November 25, 2023
About the author
Thimira Amaratunga
8 books5 followersSoftware Architect at Pearson | AI Practitioner | Inventor | Author
An inventor. A software architect with over 10 years of industry experience. A practitioner and a researcher in AI & machine learning in education and computer vision domains.
Has a Masters in Computer Science with a Bachelors in IT. Has filed 3 patents to date, in the fields of dynamic neural networks and semantics for online learning platforms. Author of 2 books in deep learning & AI.
An inventor. A software architect with over 10 years of industry experience. A practitioner and a researcher in AI & machine learning in education and computer vision domains.
Has a Masters in Computer Science with a Bachelors in IT. Has filed 3 patents to date, in the fields of dynamic neural networks and semantics for online learning platforms. Author of 2 books in deep learning & AI.
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